Data Analysis with SPSS / Edition 2

Data Analysis with SPSS / Edition 2

by Stephen A. Sweet
     
 

Data Analysis with SPSS

Third Edition

By: Stephen A. Sweet (Cornell University)

Karen Grace-Martin

Basic Approach:

Data Analysis with SPSS is designed to teach students how to explore data in a systematic manner using the most popular professional social statistics program on the market today.

New to This Edition:

  • Updated for use

See more details below

Overview

Data Analysis with SPSS

Third Edition

By: Stephen A. Sweet (Cornell University)

Karen Grace-Martin

Basic Approach:

Data Analysis with SPSS is designed to teach students how to explore data in a systematic manner using the most popular professional social statistics program on the market today.

New to This Edition:

  • Updated for use with SPSS Version 15.
  • Most current data available on attitudes and behaviors from the 2004 General Social Surveys.
  • Graphing techniques are now integrated through the introduction of numerical summary statistics and discussions of univariate, bivariate, and multivariate methods.
  • Two new chapters on bivariate analysis techniques, such as ANOVA and T-tests, are especially useful for students in psychology or education departments.
  • Includes expanded and refined discussion of logistic regression (including probability and odds) and explanations of how statistics is valuable in understanding social behavior.
  • Uses the most recent data drawn from the 2006 State Rankings (Morgan & Quitno) and the 2004 General Social Surveys.
  • Includes discussion of constructing new variable construction and important concepts of reliability.

Read More

Product Details

ISBN-13:
9780205340576
Publisher:
Allyn & Bacon, Inc.
Publication date:
05/30/2002
Edition description:
Older Edition
Pages:
236
Product dimensions:
7.94(w) x 10.82(h) x 0.48(d)

Table of Contents

Brief Table of Contents:
Chapter 1: Key Concepts in Social Science Research Chapter 2: Getting Started: Accessing, Examining, and Saving Data Chapter 3: Univariate Analysis: Descriptive Statistics Chapter 4: Constructing Variables Chapter 5: Assessing Association through Bivariate Analysis Chapter 6: Comparing Groups through Bivariate Analysis Chapter 7: Multivariate Analysis with Linear Regression Chapter 8 Multivariate Analysis with Logistic Regression Chapter 9: Writing a Research Report Chapter 10: Research Projects

Comprehensive Table of Contents:
*Each chapter begins with “Overview,” and concludes with “Summary,” “Key Terms", and “Exercises.”


Chapter1: Key Concepts in Social Science Research

Why Do We Need Statistics

Framing Topics Into Research Questions

Theory and Hypothesis

Population and Samples

Relationships and Causality

Data

Chapter 2: Getting Started: Accessing, Examining, and Saving Data

Initial Settings

The Layout of SPSS

Types of Variables

Defining and Saving a New Data Set

Managing Data Sets: Dropping and Adding Variables

Merging and Importing Files

Loading and Examining an Existing File

Chapter 3: Univariate Analysis: Descriptive Statistics

Why Do Researchers Perform Univariate Analysis?

Exploring Distributions of Scale Variables

Exploring Distributions of Categorical Variables

Chapter 4: Constructing Variables

Why Construct New Variables?

Recoding Existing Variables

Computing New Variables

Recording Computations Using Syntax

Chapter 5: Assessing Association through Bivariate Analysis

Why Do We Need Significance Tests?

Cross Tabulations

Bar Charts

Correlations

Scatter Plots


Chapter 6: Comparing Groups through Bivariate Analysis

One-Way Analysis of Variance

Post-hoc Tests

Assumptions of ANOVA

Graphing the Results of ANOVA

T tests

Chapter 7: Multivariate Analysis with Linear Regression

The Advantages of Multivariate Analysis

Linear Regression: A Bivariate Example

Multiple Linear Regression

Other Concerns In Applying Linear Regression

Assumptions of Regression

Dummy Variables

Outliers

Causality

Chapter 8: Multivariate Analysis with Logistic Regression

What Is Logistic Regression?

When Can I Do a Logistic Regression?

Understanding the Relationships through Probabilities

Logistic Regression: A Bivariate Example

Multivariate Logistic Regression: An Example

Interpreting Logistic Regression Output

Using Multivariate Logistic Regression Coefficients to Make Predictions

Using Multivariate Coefficients to Graph a Logistic Regression Line

Chapter 9: Writing a Research Report

Overview

Writing Style and Audience

The Structure of a Report

References and Further Reading

Chapter 10: Research Projects

Potential Research Projects

Research Project 1: Racism

Research Project 2: Suicide

Research Project 3: Criminality

Research Project 4: Welfare

Research Project 5: Sexual Behavior

Research Project 6: Education

Research Project 7: Health

Research Project 8: Happiness

Research Project 9: Your Topic

Appendix 1: STATES.SAV Descriptives

Appendix 2: GSS98.SAV File Information


Appendix 3: Variable Label Abbreviations


Permissions


Index

Read More

Customer Reviews

Average Review:

Write a Review

and post it to your social network

     

Most Helpful Customer Reviews

See all customer reviews >